EGU General Assembly 2020
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the Creative Commons Attribution 4.0 License.

Variability and Trends of Surface Solar Radiation in Europe based on satellite- and surface-based data

Uwe Pfeifroth and Jörg Trentmann
Uwe Pfeifroth and Jörg Trentmann
  • Deutscher Wetterdienst, Climate and Environment, Offenbach, Germany (

The EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) generates satellite-based  high-quality climate data records, with a focus on the global energy and water cycle. The new concept of Interim Climate Data Records (ICDRs) that extent the fixed-length Climate Data Records (CDRs) into 'near-realtime' in a consistent way, enables climate monitoring at a higher level of accuracy.

It has been found in recent studies based on surface and satellite data that on average SSR has been increasing in the last 3 decades in Europe (e.g. Sanchez-Lorenzo et al. 2017, Pfeifroth et al. 2018) - especially in spring and summer. Here we use the latest SARAH-2.1 TCDR (1983-2017), potentially together with its corresponding ICDR (2018 onwards), to analyze if the found positve trends in SSR are about to continue. In this respect, the satellite-based data record will be compared and validated with surface measurements given by the Baseline Surface Radiation Network (BSRN), the  World Radiation Data Center (WRDC) and the Global Energy Balance Archive (GEBA). A reasonable line of potential reasons for the found spring and summertime brightening in Europe is discussed.

How to cite: Pfeifroth, U. and Trentmann, J.: Variability and Trends of Surface Solar Radiation in Europe based on satellite- and surface-based data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-241,, 2019

Comments on the presentation

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Presentation version 1 – uploaded on 06 May 2020
  • CC1: Comment on EGU2020-241, Miklos Zagoni, 07 May 2020

    Dear Uwe,
    Re your slide #2 (Motivation and Martin's all-sky diagram) please allocate some time and look through my uncomfortably and ungallantly long presentation (D3436, EGU2020-1);  I do hope finally you will find it interesting. (An abbridged version is added at the end of the slide show, including my CERES Science Team Meeting presentation from the last week).
    Re your slide #6, yes, I think most of our climate variations came from increasing solar surface radiation.
    Re your slide #13, I think the annual global mean cloud cover is determined by energetic constraints (see again my slides about LWCRE); regional changes are always possible.
    Thanks, Miklos.

    • AC1: Reply to CC1, Uwe Pfeifroth, 13 May 2020

      Dear Mikos,
      Thank you for your comments. I went through your presentation which is very interesting. It is nice to see how the individual components of the budget interact - quite complex even when conisidering global means. Good to see that our best estimate on global surface irradiance is quite similar. Thanks for your hint on the LWCRE and the energetic contraints. 

  • CC2: Comment on EGU2020-241, Miklos Zagoni, 07 May 2020
    Dear Uwe,
    Now on Jörg's and yours common presentation (D3443, EGU2020-1303, Global validation...):
    Your best estimate of global surface irradiance is 188 Wm-2.
    Its position in my theoretical integer sytem is 7 units.
    With 1 unit = LWCRE = TSI/51 = 1360.68 Wm-2 /51 = 26.68 Wm-2, 7 units =  186.76 Wm-2.
    Its CERES 19-year mean is 186.75 Wm-2 (see my slide #105). 
    Wonderful fit with your data!
    Thanks again, Miklos.